The science in the p-value: need for a rethinking
Teaching in a school of public health, I often listen to presentations from master’s degree students who undertake analysis of primary data collected to answer a question of public health relevance. Inexorably, the presentation will lead to an analysis slide which depicts the results of a multivariate modeling exercise (where the associations between more than one identified factor and the outcome of interest are analysed). Strategic rows which indicate a significant p-value will be highlighted or marked with an asterisk (*), and the student will conclude with a statement indicating which of the identified factors had “statistically significant p-values”.
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